商品描述
The book "Artificial Intelligence for Agile Business Solutions: Modernization of Outdated Systems" offers a comprehensive exploration of how AI technologies can transform legacy systems across various industries. The book covers a wide variety of topics such as Mathematical Modeling in Computer Science, the Evolution of Big Data in Modern Accounting Practice, and innovative strategies for integrating legacy security solutions with advanced AI-enabled capabilities. Additionally, it delves into modern network architectures crucial for supporting scalable and secure AI-driven solutions, including topics on cloud computing, edge computing, and network virtualization. By combining theoretical foundations with practical applications, this book provides valuable insights for developing resilient, efficient, and adaptive business infrastructures. Designed for researchers, IT professionals, business strategists, and graduate students, it bridges the gap between emerging technologies and real-world implementation, empowering organizations to excel in the era of digital transformation.
商品描述(中文翻譯)
書籍《人工智慧與敏捷商業解決方案：過時系統的現代化》全面探討了人工智慧技術如何改變各行各業的遺留系統。該書涵蓋了多種主題，例如計算機科學中的數學建模、現代會計實踐中的大數據演變，以及將遺留安全解決方案與先進的人工智慧能力整合的創新策略。此外，書中深入探討了現代網路架構，這對於支持可擴展且安全的人工智慧驅動解決方案至關重要，包括雲計算、邊緣計算和網路虛擬化等主題。通過將理論基礎與實際應用相結合，本書為開發韌性、高效和適應性商業基礎設施提供了寶貴的見解。該書旨在為研究人員、IT專業人士、商業策略家和研究生設計，彌合新興技術與現實世界實施之間的鴻溝，使組織能夠在數位轉型時代中脫穎而出。
作者簡介
Mohammad Alsyasneh is a researcher, INTI International University, 71800 Negeri Sembilan, Malaysia. He is a dedicated researcher currently affiliated with INTI International University in Negeri Sembilan, Malaysia. With a master's degree in Business Administration, he has cultivated a strong foundation in academia and professional practice. His primary research interests include accounting, information technology, strategic management, and organizational behavior, reflecting his multidisciplinary expertise and a commitment to advancing knowledge in these critical areas of business and management. Alsyasneh's professional journey is marked by a wealth of experience gained through his managerial roles with the United Nations and various international non-governmental organizations (NGOs). Over the years, he has held multiple leadership positions, specializing in program management and support management. His work involved designing and executing complex programs, optimizing organizational processes, and fostering sustainable development initiatives in challenging and dynamic environments. Dr. Jolly Masih is an associate professor and scientist in Business Analytics and Marketing at BML Munjal University, INDIA, ORCID: 0000-0002-8420-1517, Skills and Expertise: Big Data Analysis, R Programming, Consumer Behavior, Marketing, Agribusiness Management, Agricultural Economics With a diverse educational background, Dr. Masih brings a wealth of expertise to her role. She completed her Post-Doctoral Research at the esteemed Erasmus School of Economics, Erasmus University, Netherlands. Additionally, she holds an Executive Post-Graduation in Business Analytics from IIM Indore and earned her Ph.D. in Marketing and Big Data Analytics from IABM, India, in collaboration with Drexel University, USA. Dr. Masih's areas of expertise span business analytics, marketing strategy, consumer behaviour analysis, and data-driven decision-making.
作者簡介(中文翻譯)
穆罕默德·阿爾西亞斯內（Mohammad Alsyasneh）是馬來西亞森美蘭州INTI國際大學的研究員。他是一位專注的研究者，目前隸屬於馬來西亞森美蘭州的INTI國際大學。擁有工商管理碩士學位，他在學術和專業實踐方面建立了堅實的基礎。他的主要研究興趣包括會計、資訊科技、策略管理和組織行為，這反映了他多學科的專業知識以及對於推進這些商業和管理關鍵領域知識的承諾。阿爾西亞斯內的職業生涯充滿了通過在聯合國和各種國際非政府組織（NGO）擔任管理職位所獲得的豐富經驗。多年來，他擔任多個領導職位，專注於計畫管理和支援管理。他的工作涉及設計和執行複雜的計畫、優化組織流程，以及在具有挑戰性和動態的環境中促進可持續發展倡議。
喬莉·馬西赫博士（Dr. Jolly Masih）是印度BML Munjal大學商業分析和行銷的副教授及科學家，ORCID: 0000-0002-8420-1517，技能與專長：大數據分析、R程式設計、消費者行為、行銷、農業商業管理、農業經濟學。馬西赫博士擁有多元的教育背景，為她的角色帶來了豐富的專業知識。她在荷蘭伊拉斯姆斯大學的伊拉斯姆斯經濟學院完成了博士後研究。此外，她還擁有印度IIM Indore的商業分析高級研究生學位，並在與美國德雷克塞爾大學合作下獲得了印度IABM的行銷和大數據分析博士學位。馬西赫博士的專業領域涵蓋商業分析、行銷策略、消費者行為分析和數據驅動的決策制定。
